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HEОбмен на изследователи2023–2027

IPOSEE · Intelligent and Proactive Optimisation for Service-centric Wireless Networks

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2023-03-01 → 2027-02-28
Финансиране от ЕС
372 600 €
Участници
6
Схема
HORIZON-TMA-MSCA-SE

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Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Intelligent and Proactive Optimisation for Service-centric Wireless Networks

Fast and reliable wireless connectivity is essential for businesses and industries in a broad range of sectors, from education and finance to healthcare, transport, utilities, logistics, mining, and manufacturing. As the demand of wireless coverage and services continues to rise, current wireless networks will fact new challenges, in terms of cost and resource efficiency, and reliability. The IPOSEE project, funded within the Horizon Europe Marie Skłodowska-Curie Actions programme, targets new concepts and solutions for automating and optimisation of service-oriented wireless networking, with delivering services as the focus, rather than just providing basic connectivity. The objectives of research activities of the IPOSEE project are: 1) To devise and implement effective machine learning algorithms to extract, analyse, and interpret spatial-temporal the spatial-temporal patterns in mobile network data traffic. These algorithms are able to quantify uncertainty in service-demand prediction. 2) To identify and define representative subset(s) of services and their corresponding demand patterns for radio access network (RAN) deployment scenarios, by studying and analysing the correlation among the spatial-temporal patterns of service demand, to simplify the training for service demand forecasting. 3) To gain fundamental understanding of the achievable performance gains/limits, in particular capacity, via network densification (i.e., adding more network elements) and optimization of radio propagation environment optimisation with AI-aided traffic forecast, and to benchmark the performance for demanding scenarios such as requirement of low latency. 4) To develop AI-enabled RAN optimisation applications in conjunction with a probabilistic optimisation engine, based on AI predictions and RAN optimisation to cost-effectively meet service requirements. These optimization applications will be deployed as containerized microservices specifically designed for operation within the RAN Intelligent Controller (RIC) of the Open RAN (O-RAN) architecture.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Wireless networks have become indispensable to citizens, enterprises and vertical industries, e.g., transport (including autonomous vehicles and drones), logistics, utilities and manufacturing, because wireless connectivity is essential to the digital transformation of industrial and business processes and customer experiences. As a result, wireless networks are facing increasingly diverse service requirements, which indicate that existing reactive network management will be insufficient, while intelligent and proactive control of service-centric networks becomes essential. Future intelligent wireless networks rely on several multidisciplinary breakthroughs: (i) Artificial Intelligence (AI) algorithms that can accurately predict spatial-temporal patterns of service demand and thereby drive proactive optimisation of wireless networks, (ii) reconfigurable radio access networks (RAN) and wireless environments, and (iii) automated wireless service provisioning with reduced cost, improved performance and greater reliability. Current research to automate the optimisation of service-centric wireless networks using data-driven AI is facing many open challenges that need to be urgently addressed. In this project, we will take advantage of growing data availability and advanced data science technologies, as well as AI algorithms and techniques to deliver the above identified multidisciplinary breakthroughs, thereby enabling reliable automated wireless service provisioning.

Оригинален текст от CORDIS (на английски).

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Връзки

Данни: CORDIS, © Европейски съюз